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| Supernetwork-Based Risk Management of Customs Logistics Monitoring System |
| LIAO Riqing
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1. College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China;
2. Customs Management Department, Shanghai Customs College, Shanghai 201204, China |
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Abstract In order to cope with the increasing international logistics risk, optimizing Customs Logistics Monitoring system risk management is necessary. This article use super-network theory and method to build Customs Logistics Monitoring Super-network(CLMSN) and put forward an evaluation algorithm considering static and dynamic characteristic of nodes. Numerical analyses of examples show that the method is correct and effective in identifying high risk nodes. Using the algorithm in this paper to determine the high risk nodes and giving priority to the implementation of key monitoring can control the occurrence and spread of risk, and will effectively improve the Customs Logistics risk management.
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Received: 22 September 2016
Published: 25 February 2025
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